[PDF] Top 20 The Challenges of Optimizing Machine Translation for Low Resource Cross Language Information Retrieval
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The Challenges of Optimizing Machine Translation for Low Resource Cross Language Information Retrieval
... the information content for the “same” article will not be identical across languages, this constraint helps limit cross-language information differences caused by article ... See full document
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Robust Document Representations for Cross Lingual Information Retrieval in Low Resource Settings
... is translation. The ob- jective of translation in CLIR is different from Ma- chine Translation tasks, as in information retrieval settings the goal is to retrieve relevant documents ... See full document
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Adaptation of Statistical Machine Translation Model for Cross Lingual Information Retrieval in a Service Context
... retrieve information from a tar- get language ...procedure optimizing for BLEU score and the second one is via a reranking approach optimizing for MAP ...the retrieval with the ... See full document
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The Effect of Translation Quality in MT Based Cross Language Information Retrieval
... of translation resources for bilingual retrieval based on query translation: a bilingual machine-readable diction- ary, a statistical dictionary based on a parallel web corpus and the ... See full document
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Combining Statistical Translation Techniques for Cross Language Information Retrieval
... Cross-language information retrieval today is dominated by techniques that rely principally on context-independent token-to-token mappings despite the fact that state-of-the-art statistical ... See full document
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Leveraging Data Resources for Cross Linguistic Information Retrieval Using Statistical Machine Translation
... too low of a number of operations led to the possibility of degraded ...too low of a setting led to an increased number of garbled translations, in which not all of the BPE-segments in a word were ...target ... See full document
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Massively Parallel Cross Lingual Learning in Low Resource Target Language Translation
... families. Cross-lingual im- pacts and similarities are very helpful when there is little data in low-resource language (Shoemark et ...Neural Machine Trans- lation (NMT) works assume ... See full document
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A step towards Torwali machine translation: an analysis of morphosyntactic challenges in a low resource language
... In NLP, morphological analysis is used to identify the morpheme and affixes of words in a language and individual words are analyzed into their components. Apart from computational linguistics, there are other ... See full document
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Using a Cross Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems
... statistical machine translation (SMT) systems within a cross-language information retrieval (CLIR) architecture and examine if there is a correlation between translation ... See full document
5
EuroWordNet as a Resource for Cross-language Information Retrieval
... the language of the documents being ...of machine translation, parallel corpora and machine readable bilingual dictionaries have all been tested, each with varying degrees of success ... See full document
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Soundex based Translation Correction in Urdu–English Cross Language Information Retrieval
... There are several areas of related work. The first is IR in Urdu, where monolingual work has been done (Riaz, 2008). However, to our knowledge, our study is the first one to address Urdu CLIR. The second is ... See full document
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Embedding Web Based Statistical Translation Models in Cross Language Information Retrieval
... tbe language of the searcher and the langage in which documents are written represents a serious ...similar translation in Chinese. An automatic query translation tool would be very helpful to such a ... See full document
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Query Translation for Cross Language Information Retrieval using Multilingual Word Clusters
... However, using the translations obtained from multilingual word embeddings directly has some draw- backs – words that are not much relevant to the source language word, may also come up as a translation. ... See full document
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Japanese Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019
... transfer learning (Zoph et al., 2016; Kocmi and Bojar, 2018), and multilingual modeling (Firat et al., 2016). Recently, a simple multilingual modeling (MultiNMT) was proposed by Johnson et al. (2017) which translates ... See full document
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Statistical Machine Translation based Passage Retrieval for Cross Lingual Question Answering
... After that, the mono-lingual QA process is in- voked. The translated Japanese question is used as the query of the document retrieval to get the doc- uments that include the query terms. From the re- trieved ... See full document
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Cross Language Multimedia Information Retrieval
... "Using WordNet to Disambiguate Word Senses for Text Retrieval," in Proceedings of the 16th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.. C[r] ... See full document
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Transfer Learning across Low Resource, Related Languages for Neural Machine Translation
... To increase the overlap between the parent and child vocabularies, we use BPE to break words into subwords. For the BPE merge rules to not only find the common subwords between two source languages but also ensure ... See full document
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Statistical Machine Translation in Low Resource Settings
... Recently, Klementiev et al. (2012b) induced dis- tributed representations for the crosslingual setting. There, the induced embedding is learned jointly over multiple languages so that the representations of se- ... See full document
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Improving Low Resource Neural Machine Translation with Filtered Pseudo Parallel Corpus
... correct translation of the Japanese monolingual sentences, eventually be- came a good translation, we can say that the Japanese→Russian and Russian→Japanese mod- els used to create a pseudo-parallel corpus ... See full document
9
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
... First, in this section we introduce our problem for- mally, where we use the upper case letters X, Y to denote the random variables, and the correspond- ing lower case letters x, y to denote their actual values. Suppose ... See full document
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